金融发展与全要素生产率增长* ——基于中国省际面板数据的实证分析

本文以2000-2012年中国省际平衡面板数据为样本,从金融规模发展和金融效率发展两个维度衡量金融发展水平,实证检验金融发展与全要素生产率增长的联系以及中间渠道。研究结果发现,2000-2012年中国全要素生产率出现正增长且主要是由技术进步推动的;无论是从金融规模发展角度还是从金融效率发展角度去分析,都证实了金融发展显著地促进了全要素生产率的增长,金融效率发展的全要素生产率增长效应显著地高于金融发展规模的全要素生产率增长效应,且金融发展促进全要素生产率增长的中间渠道是技术进步效应而非技术效率增长效应;通过引入衡量金融发展缺陷程度指标（民间金融发展规模）,证实了中国金融发展体系效率低下。民间金融发展具有TFP增长效应,且民间金融发展TFP增长效应要显著地大于正规金融发展的TFP增长效应。     

Assessing the losses in euro area potential productivity due to the financial crisis

In this article, we show that the recent financial crisis has significantly affected the potential total factor productivity (TFP) of the four largest euro area economies, as well as that of the rest of the euro area. We used a reduced-form equation of TFP, based on an approach recently developed by Cahn and Saint-Guilhem (2010). Our empirical findings show that the permanent impact on potential TFP varies across countries from –3.9 points to –1.3 points in Q2 2012. When these losses are incorporated, TFP gaps develop closely in line with capacity utilization rates (CUR). Moreover, in the case of France, including CUR in our TFP model improves the quasi-real-time reliability of TFP gap estimates.     

融资约束视角下的运营资本对中国企业全要素生产率的贡献*

金融危机后中国经济增长缓慢，产业和总需求分析框架失灵。本文从供给侧动力和非正规金融入手，研究中国企业全要素生产率与运营资本的关系。本文利用1999—2013年非上市企业的动态面板数据，采用系统GMM的方法进行回归分析，研究发现运营资本对中国企业的全要素生产率有显著的影响，而且这种影响是非线性的。但是，这种关系只在民营企业和外资企业中成立，对国有企业并不成立。本文进一步引入融资约束机制，论证了运营资本是中国非国有企业突破融资困境、促进企业全要素生产率提高的重要金融中介。       

Shocks,financial dependence and efficiency: Evidence from U.S. and Canadian industries

This paper investigates how changes in industries’ funding costs affect total factor productivity (TFP) growth. Based on panel regressions using data for U.S. and Canadian industries and industries’ dependence on external funding as an identification mechanism, we show that increases in the cost of funds affect TFP growth negatively. The effect is non‐monotonic depending on a sector's external finance need. This paper presents a theoretical model that produces the observed non‐monotonic effect of financial shocks on TFP growth and suggests that financial shocks distort the allocation of factors across firms even within an industry, thus reducing TFP growth.     

Monitoring the Performance of Government Trading Enterprises

Total factor productivity (TFP) was used for some years as a single indicator for measuring performance of government trading enterprises in Australia. More recently there has been a shift in emphasis towards financial criteria, with little or no mention of TFP. But it is well known that financial measures can be inappropriate for enterprises with market power.
We show that it is important to monitor both TFP and financial performance. TFP performance alone can be misleading and be achieved at the expense of financial performance—this is illustrated for Australian National Railways during the 1980s. TFP and financial performance can be directly linked, and this provides a better framework for performance assessment over time. We explore the relationship between productivity, price performance, and various financial measures.     

The recent boom–bust cycle: The relative contribution of capital flows, credit supply and asset bubbles

We use an estimated open economy DSGE model with financial frictions for the US and the rest of the world to evaluate various competing explanations about the recent boom–bust cycle. We find that the savings glut hypothesis is insufficient for explaining all aspects of the boom in the US. Relatively strong TFP growth and expansionary monetary policy are also not able to explain fully the volatility of corporate and in particular residential investment. We identify bubbles in the stock and housing market as crucial. Concerning the downturn in 2008/2009, the fall in house prices and residential investment only plays a minor role. Mortgage defaults have more explanatory power, especially in a specification of the model with a segregated equity market. Finally, the bursting of the stock market bubble was at least as important in this recession as in 2001. Because of various negative shocks hitting the economy at the same time in 2008/2009 and continued positive technology growth, not only the real interest rate declined but inflation fell rapidly and left insufficient room for monetary policy to play a similar stabilising role as in previous recessions.     

包容性金融发展与农村居民贫困减缓——基于全要素生产率视角的分析

本文用DEA—Malmquist指数法测算了全要素生产率指数，结合2006—2016年中国内地省际面板数据，基于全要素生产率视角，运用中介效应模型实证分析了包容性金融发展对农村居民贫困的影响。实证结果表明：（1）包容性金融发展能够通过全要素生产率的中介效应发挥减贫作用。（2）进一步的研究发现，包容性金融服务渗透度的提升对贫困的影响最为显著；同时，包容性金融发展可通过技术进步和效率提升作用来推动全要素生产率增长，进一步作用于贫困。（3）稳健性检验表明，我国东部与中西部地区包容性金融发展水平差异较大，对全要素生产率的提升乃至农村减贫的贡献表现出较大不平衡性。本文的政策建议为：首先，应持续推进包容性金融发展，充分发挥全要素生产率的中介效应，以更快实现2020年全面脱贫目标；其次，要继续加强农村金融基础设施建设，以实现金融 服务均等性，充分发挥金融减贫的优势；最后，要合理配置金融资源，注重地区间发展的公平性，以实现经济社会均衡发展。     

中国金融发展与全要素生产率关系研究

运用柯布一道格拉斯生产函数和增长核算法计算出1978—2006年全国的TFP,并选取FIR作为金融发展指标,对二者进行单位根检验、协整检验,继而运用误差修正模型得出FIR与TFP的回归方程。实证结果显示,长期全要素生产率存在一定的自回归调整,金融发展的短期波动也起到了显著的调整作用。     

Productivity drivers of infrastructure companies: Network industries utilizing economies of scale in the digital era

What drives the productivity dynamics of infrastructure companies? Using a panel of firms in 14 countries, we study total factor productivity (TFP) enhancers of utility and network services companies. We find that moving TFP closer to the technological frontier drives productivity growth at higher speeds in Asian countries than in European countries. We also find that financial leverage exerts a positive effect on TFP growth for larger infrastructure firms and that more financially developed countries utilize economies of scale through better use of financial resources. Large utility and transportation companies display a higher rate of TFP growth, indicating that a competition policy to encourage M&As would be prudent for the utility/transportation sectors to maximize economies of scale. In contrast, we find diseconomies of scale for energy companies in some countries. Moreover, young network firms improve TFP growth faster than their peers in countries with fewer product market regulations. Therefore, policies should remove entry barriers while facilitating the departure of old and low-productivity firms from network markets. Finally, policymakers should offer well-targeted fiscal incentives for intangible investments to boost TFP because the accumulation of intangible assets such as digital technology promotes more scale economies through network effects.     

Firms' Innovation,Public Financial Support,and Total Factor Productivity: The Case of Manufactures in Peru

Based upon an adjusted Crepon–Duguet–Mairesse (CDM) model, this paper analyzes the relationship between investment intensity, public financial support, innovation, and total factor productivity (TFP) for a sample of manufacturing firms of Peru with data obtained from the 2004 survey of science, technology, and innovation (STI) activities. The estimation of the model indicates that large firms are more likely to invest in STI activities and firms' size increases the probability of producing technological inovation (TI) and non‐technological innovation (NTI). STI firms' investment intensity and public financial support have also helped manufacturing firms to increase the probability of producing TI outcomes. Further, such support may have increased firms' investment on STI activities. The innovation effects on TFP, however, were statistically not clear or robust. Thus, whereas investment intensity did increase firms' TPF in low‐tech manufacturing firms, this is not the case for high‐tech firms. For this group of firms, relatively high capital–labor ratio and the availability of a high level of human capital seem to promote higher levels of TFP.     

行业差异和FDI对全要素生产率的影响——基于中国大中型制造业的实证分析

利用2006—2010年我国27个大中型制造业行业的时间序列数据,运用面板回归方法对概念模型进行实证检验,探讨了创新资源和行业结构对TFP的直接影响作用,并将FDI作为中介变量纳入研究模型,分析了创新资源和行业结构通过影响FDI进而对TFP产生的间接影响。结果表明:财力资源、市场化程度和经济外向度对FDI流入有显著的正向影响;FDI对TFP有正向作用,但弹性系数较小。     

Global sourcing and credit constraints

This paper incorporates credit constraints into a model of global sourcing and heterogeneous firms. Following Antràs and Helpman ( 2004 ), heterogeneous firms decide whether to outsource or integrate input suppliers. Financing of fixed organizational costs requires borrowing with credit constraints and collateral based on tangible assets. The party that controls intermediate inputs is responsible for these financing costs. Sectors differ in their reliance on external finance and countries vary in their financial development. The model predicts that increased financial development decreases the share of integration relative to outsourcing in a country. The effect is more pronounced in sectors with a high reliance on external finance. However, this effect is mitigated by higher productivity (TFP) and headquarter intensity. Empirical examination confirms the predictions of the model. An improvement in financial development from the 25th to the 75th percentile in industries at the 75th percentile in finance dependence relative to those at the 25th percentile is associated with a 16.8% decrease in the median share of US intra‐firm imports. An increase in TFP from the 25th to the 75th percentile in the TFP triple interactions increase the share of US intra‐firm imports at the median by 3.2%. An increase in headquarter intensity from the 25th to the 75th percentile in the headquarter intensity triple interactions increase the share of US intra‐firm imports at the median by 21%.     

金融发展与全要素生产率增长:区域差异重要吗?——来自中国省级面板数据的经验证据

基于1997-2008年中国省级面板数据以及分全国层面、沿海地区与内陆地区三个样本对金融发展与全要素生产率增长的联系及其中间渠道重新进行检验,结果发现:中国金融发展的全要素生产率增长效应与区域因素有关;中国金融发展促进全要素生产率增长的中间渠道是技术进步效应而非技术效率增长效应。这意味着,加快中国金融体系改革,从而推动金融发展对于经济增长质量的提高是非常重要的。     

Deregulation and Productivity: The Case of Spanish Banks

This paper deals with measuring total factor productivity (TFP) growth of financial institutions incorporating different types of deregulatory measures. TFP growth is decomposed into external, scale, and markup components. The external component is further dissected into deregulation and technical change components. The TFP growth relationship is included as an additional equation in estimating the cost system. The empirical model uses panel data on Spanish banks (savings and commercial banks). We find that deregulations contributed positively to TFP growth for both savings and commercial banks. Furthermore, domestic (European) deregulations had a greater effect on TFP growth of savings (commercial) banks. JEL Classification: D24, D40, G21Lozano-Vivas acknowledges financial support from the Ministerio de Ciencia y Tecnología and FEDER grant n° BEC2002-02852. The authors thank an anonymous referee, the editor of the JRE and seminar participants at the XI International Tor Vergata Conference on Banking and Finance: Monetary Integration, Markets and Regulation (Rome, Italy) and at the Asian Pacific Productivity and Efficiency Conference (Taipei, Taiwan) for numerous suggestions. A previous version of this paper was distributed as working paper E2004/24, CentrA.     

Misallocation and financial market frictions: Some direct evidence from the dispersion in borrowing costs

Financial frictions distort the allocation of resources among productive units—all else equal, firms whose financing choices are affected by such frictions face higher borrowing costs than firms with ready access to capital markets. As a result, input choices may differ systematically across firms in ways that are unrelated to their productive efficiency. We propose an accounting framework that allows us to assess empirically the magnitude of the loss in aggregate resources due to such misallocation. To a second-order approximation, the framework requires only information on the dispersion in borrowing costs across firms, which we measure—for a subset of U.S. manufacturing firms—directly from the interest rate spreads on their outstanding publicly-traded debt. Given the observed dispersion in borrowing costs, our approximation method implies a relatively modest loss in efficiency due to resource misallocation—on the order of 1 to 2 percent of measured total factor productivity (TFP). In our framework, the correlation between firm size and borrowing costs has no bearing on TFP losses under the assumption that financial distortions and firm-level efficiency are jointly log-normally distributed. To take into account the effect of covariation between firm size and borrowing costs, we consider a more general framework, which dispenses with the assumption of log-normality and which implies somewhat higher estimates of the resource losses—about 3.5 percent of measured TFP. Counterfactual experiments indicate that dispersion in borrowing costs must be an order of magnitude higher than that observed in the U.S. financial data, in order for misallocation—arising from financial distortions—to account for a significant fraction of measured TFP differentials across countries.     

DISCOUNT SHOCK,PRICE–RENT DYNAMICS,AND THE BUSINESS CYCLE

The price-rent ratio in commercial real estate is highly volatile and its variation comoves with the business cycle. To account for these facts, we develop a dynamic general equilibrium model that introduces a rental market and incorporates the liquidity constraint on an individual firm's production as a key ingredient. Our estimation identifies the discount shock as the most important factor in driving price-rent dynamics and linking the dynamics in the real estate market to those in the real economy. We illustrate the importance of the liquidity premium and endogenous TFP in the nexus of the financial and real sectors.     

The impact of the Great Recession on TFP convergence among EU countries

This article provides evidence on the effect of the Great Recession on productivity convergence among European Union (EU) economies. We use firm data, aggregated at the country-year level, to analyse the evolution of beta-convergence on total factor productivity (TFP) for 2003–2014. We obtain a positive impact of the recession on TFP (unconditional and conditional) beta-convergence across EU economies. These results support the existence of a catching-up process within the EU during the recent financial crisis. Other macroeconomic and institutional characteristics are important in fostering TFP growth, namely R&D intensity and quality of governance.     

Finance and sources of growth: evidence from the U.S. states

How does financial development affect economic growth: through its impact on accumulation of physical and human capital or by boosting total factor productivity (TFP) growth? We use a new data set on output, inputs, and total factor productivity for the US states to study this question. Unlike previous cross-country research that tries to disentangle the channels through which financial development impacts growth, we use a plausibly exogenous measure of financial development: the timing of banking deregulation across states during the period 1970–2000. At the same time our new data set allows us to go beyond what was previously done in the state banking deregulation literature and identify whether finance impacts states’ input accumulation or TFP growth. We find, in line with existing cross-country studies, that deregulation boosts growth by accelerating both TFP growth and the accumulation of physical capital without having any impact on human capital. In contrast to the cross-country studies, we also find that the effects of deregulation are largely independent of states’ initial level of development; both rich and poor states grow faster after deregulation. Additionally, since our data set breaks down aggregate output into three sectors: agriculture, manufacturing, and the remaining industries, we are able to show that deregulation accelerates the growth of productivity in manufacturing. This last finding answers an important critique of the banking deregulation studies which asserts that observed growth effects may be coming from the growth of financial industry itself and not from the beneficial effect of finance on other industries, such as manufacturing.     

FISCAL STIMULUS WITH LEARNING‐BY‐DOING

Using a Bayesian structural vector autoregression analysis, we document that an increase in government purchases raises private consumption, the real wage, and total factor productivity (TFP) while reducing inflation. These three facts are hard to reconcile with both neoclassical and New Keynesian models. We extend a standard New Keynesian model to allow for skill accumulation through past work experience. An increase in government spending increases hours and induces skill accumulation and higher measured TFP and real wages in subsequent periods. Future marginal costs fall lowering expected inflation and, through the monetary policy rule, the real interest rate. Consumption increases as a result.     

中国商业银行全要素生产率分析——基于三阶段Malmquist指数模型

本文运用三阶段Malmquist指数对我国商业银行2004—2008年的全要素生产率变化情况进行研究。研究结果表明,环境变量对我国商业银行的投入变量有显著的影响,传统的Malmquist方法高估了我国商业银行全要素生产率变化指数、技术进步变化指数以及技术效率变化指数;我国银行业在2004—2008年间出现了全要素生产率的改进,这主要源于技术进步的作用;金融危机的爆发使得我国银行业整体生产率大幅度下降,但对国有商业银行的影响要小于对股份制商业银行的影响。